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Scientists working with data from the Atacama Large Millimeter/ submillimeter Array (ALMA) have come across the most massive stellar embryo ever discovered in the Milky

Way. It’s a real monster of a baby star, growing in a cosmic womb 500 times the mass of our own Sun.

The unbelievable part is that it’s still growing, sucking up material in its environment with its powerful gravity and adding to a blooming protostellar core that may eventually form several newborn stars.

This core is found 11,000 light years away in a region of space known as the Spitzer Dark Cloud or SDC. It’s shrouded by dense dust and gas, so has been difficult to observe with much accuracy until a Cardiff-based team led by French scientist Nicolas

Continue reading Scientists working with data from the Atacama Large Millimeter/ submillimeter Array (ALMA) have come across the most massive stellar embryo ever discovered in the Milky

More expression in Logic

Alongside note data, controller information is a fundamental part of the MIDI protocol and an essential means of physically controlling and manipulating virtual instruments (VIs). Whether you’re tweaking the cutoff on a virtual synthesizer or adding dynamics to a sampled string patch, the use of a MIDI controller — and there’s a multitude of different ones out there to choose from — enables you to implant expression directly into your sequence data. Not surprisingly, Logic Pro is equipped with a number of different strategies and approaches to working with controller data, so it’s well worth appraising these contrasting solutions and

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According to Dr. Brown’s recipes

Dr. Chris Brown

Doctor teaches, writes and consults on Linux. PhD in elementary particle physics it this does not help.

Esoteric system administration of bizarre volvulus server

Old Tux?

We all know Tux. This chubby penguin became the face of Linux in the mid-1990s, but those remained. But few of us are lucky like me, met him in life. Now he is retired and lives on the beach in the coastal Penguins zoo in Devon. In spite of the progressive disease of fins, he hobbled up to me and graciously gave me an interview. I asked him how his

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Flame Spreads

Cyberworm plaguing the Middle East is similar to attacks on the U.S.

The newly discovered Flame computer virus—designed for spying and not for destruction—is quickly replacing 2010’s Stuxnet as the offensive cyberweapon of greatest notoriety. But U.S. veterans of digital combat say it has been effective and gone undetected for two years or more because its targets in the Middle East were well chosen and the type of exploitation was tailored for a foe without top-of-the-line defenses in the realm of cyber.

The U.S., Israel, China and Russia—rated as having the best cyberdefenses—have been discovering and surviving considerably more-sophisticated attacks

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Clarity

Scientists in Karl Deisseroth’s bio engineering lab at Stanford recently announced Clarity, an imaging technique rendering thick animal tissues transparent, along with a visually stunning image of a mouse brain turned clear. Clarity unmasks the camouflage of dense surrounding tissue. The image of the mouse’s brain received tremendous publicity. I asked applied mathematician Chris Wiggins to explain why. «When I read about the ‘clear brain,’ made transparent optically, I was struck by how it captured the imagination of neuro scientists hoping that it will make the brain more transparent in the sense of understood.» Wiggins described collaborating with molecular biologists

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Achtung! Eric Spiekermann

Instead of running the risk of making your brain hurt trying to get to grips with the sheer amount of information being processed by Big Data, dip into Asimov’s sci-fi to understand the why…

Instead of running the risk of making your brain hurt trying to get to grips with the sheer amount of information being processed by Big Data, dip into Asimov’s sci-fi to understand the why…

We live in the physical world where we have headaches, birthdays, houses, jobs, traffic jams, architectural magazines and all sorts of material possessions that keep us occupied. What we do in this

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5 tips for learning from bad shots.

Use editing software to Learn from your mistakes.

While you are getting to grips with photography, it is inevitable that you will make mistakes. The important thing is that you learn from those errors and correct them next time. Editing software is really useful for working out what you did wrong, so here are a few things to look out for.

Check the data.

If your image isn’t quite right, check the EXIF data to see which settings you used and find out where you went wrong. For example, your f-number may not have been low enough to blur the

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Japanese provider of IT security works on Russian software

MARS logo

The largest Japanese supplier of solutions in the field of IT security company LAC uses the Russian system of monitoring MARS, developed by the company "Expert System".

How to tell the Russian developers, software package MARS (Monitoring Analyses and Reporting System) is designed to track in real time (update rate 1 per second) of various system parameters and application software and hardware systems.

Unlike many monitoring systems monitoring agents MARS focused on tracking the status of any device and software running on a specific protocol or standard, and is not limited to monitoring only certain systems

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Yandex is building in Ryazan region in Russia’s largest data center

Data Center Company "Yandex DC" is located in the city of Ryazan Oblast Sasovo. Project to create a center of data processing and storage company "Yandex DC" is being set-up equipment.

Photo: MediaRyazan

Servers are installed and running in test mode. Planned taxes to the regional budget will be about 550 million rubles to 2019. By 2020, will be open four stage of the center for data processing. "Yandex" will offer about 50 skilled jobs.

Data center in Ryazan region, where tens of thousands install servers will be the largest in Russia. Total investments amount to 2.7 billion rubles.

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Yandex announces partnership with CERN

Yandex entered into an agreement with The European Centre for Nuclear Research (CERN), becoming an associate member CERN openlab. In the framework of the company will provide a physicist their computing resources and data processing technologies — including machine learning technology Matriksnet.

CERN has already started using Matriksnet to analyze the decays of mesons. And this is only the first example — the technology is applicable to the study of other decays and physical processes. You can use it to process huge amounts of data and record events that occur extremely rarely. Highly accurate detection of these

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